Abstract:
A method for automatically verifying one or more features of file-based media content (108) is disclosed. This file-based media content includes one or more media content files. The method includes customizing (204) a test plan on the basis of the one or more features. Customizing the test plan includes creating, modifying or utilizing at least one media content check of one or more media content checks. A media content check verifies at least one feature of the one or more features of the file-based media content. Further, the method includes verifying (206) the one or more features, based on the customized test plan. The method also includes documenting (208) the results obtained from the verification of the one or more features.
Abstract:
A method for automatically verifying one or more features of file-based media content (108) is disclosed. This file-based media content includes one or more media content files. The method includes customizing (204) a test plan on the basis of the one or more features. Customizing the test plan includes creating, modifying or utilizing at least one media content check of one or more media content checks. A media content check verifies at least one feature of the one or more features of the file-based media content. Further, the method includes verifying (206) the one or more features, based on the customized test plan. The method also includes documenting (208) the results obtained from the verification of the one or more features.
Abstract:
Systems and methods for updating geographic information system are provided. Method includes receiving name and location of point of interest (POI). Method includes comparing name and location of received POI to names and locations of POIs stored in data repository. Method includes determining whether first POI in data repository has name that matches name of received POI, and location that is within predetermined distance of location of received POI. Method includes increasing or maintaining maximum confidence value for first POI if first POI has name that matches name of received POI, and location that is within predetermined distance of location of received POI. Method includes adding name and location of received POI to temporary set of points of interest if it is determined that no POI in data repository has name that matches name of received POI, and location that is within predetermined distance of location of received POI.
Abstract:
Systems and methods for updating geographic information system are provided. Method includes receiving name and location of point of interest (POI). Method includes comparing name and location of received POI to names and locations of POIs stored in data repository. Method includes determining whether first POI in data repository has name that matches name of received POI, and location that is within predetermined distance of location of received POI. Method includes increasing or maintaining maximum confidence value for first POI if first POI has name that matches name of received POI, and location that is within predetermined distance of location of received POI. Method includes adding name and location of received POI to temporary set of points of interest if it is determined that no POI in data repository has name that matches name of received POI, and location that is within predetermined distance of location of received POI.
Abstract:
A method and system for detecting and quantifying blockiness in a video file is disclosed. The video file is a file that has been decompressed by using standard DCT algorithms. The method includes segmenting each frame of the video file into multiple blocks. The method also involves comparing the intensity gradients of each block with one or more threshold values. The one or more threshold values represent predefined intensity variation characteristics. Further, the method includes determining the intensity variation parameters of each block, based on the comparison. Thereafter, a blockiness index is calculated for each block, after which a blockiness value is calculated for each frame. Finally, a blockiness level is assigned to each frame, based on its blockiness value. The blockiness level is a comparative measure of the blockiness of a frame that represents the blockiness content in the frame.
Abstract:
A method and system for detecting and quantifying blockiness in a video file is disclosed. The video file is a file that has been decompressed by using standard DCT algorithms. The method includes segmenting each frame of the video file into multiple blocks. The method also involves comparing the intensity gradients of each block with one or more threshold values. The one or more threshold values represent predefined intensity variation characteristics. Further, the method includes determining the intensity variation parameters of each block, based on the comparison. Thereafter, a blockiness index is calculated for each block, after which a blockiness value is calculated for each frame. Finally, a blockiness level is assigned to each frame, based on its blockiness value. The blockiness level is a comparative measure of the blockiness of a frame that represents the blockiness content in the frame.